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on
1
Introduction
2
James Mickens
3
Databases
4
Database scalability
5
Distributed databases
6
Horizontal partitioning
7
Distributed database problems
8
Pros of distributed databases
9
MongoDB
10
Jay Recursive
11
Transactions
12
Bitcoin Exchange Loss
13
Consensus Consistency
14
Acid Transactions
15
Serializability
16
Defining Serializability
17
Serializability Example
18
Benefits
19
Eventually Consistency
20
Sequential Consistency
21
Sequential Consistency Example
22
External Consistency
23
Cap Theorem
24
What does this mean
25
Its impossible to 100
26
Consistency vs Performance
27
Types of Research
28
Transaction Execution
29
spanner
30
conclusion
Description:
Explore a conference talk that delves into the importance of serializability in database systems. Learn about the challenges of distributed databases, the benefits of strong consistency guarantees, and why serializability should not be abandoned. Discover various consistency models, including eventual consistency, sequential consistency, and external consistency. Examine the CAP theorem and its implications for database design. Gain insights into transaction execution techniques and research directions in improving database performance while maintaining strong consistency. Understand the trade-offs between consistency and performance, and why serializability remains a crucial concept in modern database systems.

Don't Give Up on Serializability Just Yet

GOTO Conferences
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